Data visualization dashboards are essential for digital marketers, business leaders, and companies. They provide a way to view key performance indicators (KPIs) that can be used to improve decision-making. However, data visualization dashboards are not always easy to use. Here we’ll tell you how to effectively use data visualization

Breaking down some of the problems I’ve seen in data collaboration and offering advice on how to make better, faster decisions with collaborative analytics.

How do you survive a cash crunch? Most startup leaders are asking this question right now. Many smart people are writing about the macro trends. I spoke with founders, angels, and VCs and compiled some practical advice. Private markets are reverting to the meanThe wild 2020-2021 ride of startups raising

Find out what sales metrics you should use to measure your team's efficiency, and learn how to build these metrics to track your rocketship trajectory.

Find out what growth marketing metrics you should use to measure startup growth, and learn how to build these metrics to track your rocketship trajectory.

What is a data warehouse and how do you pick the right provider? See below for more details and a look inside the Snowflake vs BigQuery battle.

While BI has been around for decades, its use has dramatically evolved. Here’s a look at the history of BI and how it has changed over the years.

SaaS tools and BI tools have helped teams align around KPIs over the past decade. But to answer the next decade’s more complex questions, our data tools and data culture must evolve.

In this post, I’ll summarize learnings from hundreds of conversations I’ve had with early-stage founders and data practitioners and provide some recommendations on navigating the data landscape.

The year is 2017. I had just joined Flexport as one of the first product managers and was thrilled to start working on the unsexiest trillion-dollar startup...

At Canvas we're building the frontend for the modern data stack. Fittingly, we’ve ended up implementing this on what we call the “modern web stack” - though some of these technologies are so bleeding-edge this appellation could be premature. The choice of stack might be the most consequential decision

Data transformation (the “T” in “ELT”) is the process of turning data from one format to another, often from the format of the source to the format of the destination.

How to build web apps that feel like native apps.

If you’re a data practitioner, you already know what dbt is. But if you’re not a data person and you’re starting to look at how to clean up and transform your data, you might be seeing dbt more and more and wondering: Why do I keep getting